| TYPE OF COURSE UNIT | Elective Course |
| LEVEL OF COURSE UNIT | Bachelor's Degree |
| YEAR OF STUDY | - |
| SEMESTER | - |
| NUMBER OF ECTS CREDITS ALLOCATED | 5 |
| NAME OF LECTURER(S) | Assistant Professor Deniz Karaçor
|
| LEARNING OUTCOMES OF THE COURSE UNIT |
At the end of this course, the students;
1) Know the mid-level image processing techniques.
2) Learn the morphological image processing algorithms.
3) Know the image segmentation.
4) Get an idea about the object recognition.
5) Gain the ability to develop an application for a specific problem.
|
| MODE OF DELIVERY | Face to face |
| PRE-REQUISITES OF THE COURSE | No |
| RECOMMENDED OPTIONAL PROGRAMME COMPONENT | |
| COURSE DEFINITION | Review of digital image fundamentals. Intensity transformations. Spatial filtering. Filtering in frequency domain. Review of image restoration. Morphological image processing and some basic algorithms. Image segmentation. Representation and description, and introduction to object recognition. |
| COURSE CONTENTS | Discrete time signals, and systems. Sampling, reconstruction, and quantization. Digital image representation. Digital image fundamentals. Image transforms. Image enhancement. Image restoration. Image segmentation and description.
|
| RECOMENDED OR REQUIRED READING | 1) Digital Image Processing by Rafael C. Gonzalez and Richard E. Woods, 3rd edition
2) M. Sonka, V. Hlavac, R. Boyle, "Image Processing, Analysis, and Machine Vision".
3) A. K. Jain, "Fundamentals of Digital Image Processing", Prentice-Hall.
|
| PLANNED LEARNING ACTIVITIES AND TEACHING METHODS | Lecture,Presentation,Questions/Answers,Problem Solving,Practice |
| ASSESSMENT METHODS AND CRITERIA | | | Quantity | Percentage(%) |
|---|
| Mid-term | 1 | 30 | | Assignment | 2 | 10 | | Quiz | 4 | 20 | | Total(%) | | 60 | | Contribution of In-term Studies to Overall Grade(%) | | 60 | | Contribution of Final Examination to Overall Grade(%) | | 40 | | Total(%) | | 100 |
|
| ECTS WORKLOAD |
| Activities |
Number |
Hours |
Workload |
| Midterm exam | 1 | 2 | 2 | | Preparation for Quiz | 0 | 0 | 0 | | Individual or group work | 14 | 4 | 56 | | Preparation for Final exam | 1 | 18 | 18 | | Course hours | 14 | 4 | 56 | | Preparation for Midterm exam | 1 | 12 | 12 | | Laboratory (including preparation) | 0 | 0 | 0 | | Final exam | 1 | 2 | 2 | | Homework | 5 | 1,5 | 7,5 | | Total Workload | | | 153,5 |
|---|
| Total Workload / 30 | | | 5,11 |
|---|
| ECTS Credits of the Course | | | 5 |
|---|
|
| LANGUAGE OF INSTRUCTION | English |
| WORK PLACEMENT(S) | No |
| | |
